Open AccessModeling and analysis of pixel quantization error of binocular vision system with unequal focal length
Author(s) -
Lin Dan-lan,
Zhenwei Wang,
Shi Hongsheng,
Hong Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1738/1/012033
Subject(s) - quantization (signal processing) , pixel , computer vision , focal length , computer science , artificial intelligence , error analysis , binocular vision , algorithm , mathematics , optics , physics , lens (geology)
Current Analysis of pixel quantization error has following problems in the binocular vision system. Most literatures are based on the ideal binocular vision system with equal focal length. Moreover, the precision of pixel quantization is relatively low. In order to solve above problems, an analysis method of pixel quantization error for binocular vision system with unequal focal length is proposed. Firstly, a pixel quantization error model is established and a mathematical expression is presented to characterize the pixel quantization error model. Secondly, in the case of equal and unequal focal lengths, measurement error of object point is discussed respectively. Finally, simulation experiments were conducted and the effect of some parameters on measurement error was analyzed. Reasonability and efficiency of proposed methods are verified.